Non-Human Identity and Cloud IAM – Platform Lead
Core
Establishing a unified strategy for non-human identities, AI agent governance, and cloud IAM to ensure secure, efficient, and compliant access to systems and data across enterprise environments.
Role type
Senior IC Platform Lead (Identity & Access Management)
Builds
Centralized Non-Human Identity (NHI) registry, governance programs for machine identities and AI agents, and integrated cloud IAM frameworks.
Domain
Enterprise Information Security, Cloud Identity & Access Management, AI Agent Governance
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Non-human identity management, cloud IAM frameworks (AWS, Azure, GCP), identity governance architecture, secrets management, cross-functional program leadership, executive communication, compliance framework knowledge (SOX, GDPR, PCI-DSS), cloud IGA processes, service-to-service authentication patterns.
Preferred skills
AI agent platform familiarity, NHI discovery tooling, containerization and Kubernetes service account management, IGA platform experience, scripting and automation, PKI infrastructure knowledge.
Technologies
AWS IAM, Azure Entra ID, GCP IAM, Saviynt, SailPoint, HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, Microsoft Copilot ecosystem, AWS Bedrock, OAuth, OIDC, SAML, Jenkins, GitHub Actions, Azure DevOps, Terraform, PowerShell, Python.
Responsibilities
Define and drive the enterprise NHI strategy; build and maintain a comprehensive NHI registry; own identity governance posture for AI agents; proactively discover and onboard new AI agents; establish centralized NHI observability; design and implement modern NHI credential security controls; assess and modernize tooling landscape; own and evolve Cloud IAM and IGA strategy; drive cross-functional alignment; establish KPIs and maturity metrics; ensure regulatory compliance; manage budget and vendor relationships; lead and mentor technical specialists.
Seniority
Senior, hands-on IC with organizational influence